Artificially Intelligent Smart Campaigns

Abstract

Provided herein are exemplary embodiments including a computer-implemented method of using artificial intelligence for automatically collecting and enriching network data for a smart campaign with autopilot features. The method includes, collecting a set of network data relevant to a smart campaign with autopilot features, applying one or more transformations to the collected set of data to create a modified set of data, generating from the modified set of data, enriched network data for a smart campaign with autopilot features, the enriched network data having content, context and event data, and using the enriched data to deploy a personalized campaign by identifying an audience, time, channel, content and goal of the communication.

What is claimed is: 
     
         1 . A computer-implemented method of using artificial intelligence for automatically collecting and enriching network data for a smart campaign with autopilot features, the method comprising:
 collecting a set of network data relevant to a smart campaign with autopilot features;   applying one or more transformations to the collected set of data to create a modified set of data;   generating from the modified set of data, enriched network data for a smart campaign with autopilot features, the enriched network data having content, context and event data; and   using the enriched data to deploy a personalized campaign by identifying an audience, time, channel, content and goal of a communication.   
     
     
         2 . The computer-implemented method of  claim 1 , the collecting further comprising: scraping a website or receiving data through a feed, data warehouse or from a database. 
     
     
         3 . The computer-implemented method of  claim 1 , further comprising:
 the artificial intelligence applying one or more transformations to the collected set of data to create the modified set of data, including adding context to the collected set of data.   
     
     
         4 . The computer-implemented method of  claim 1 , further comprising:
 the artificial intelligence applying one or more transformations to the collected set of data to create the modified set of data, including adding collected event information.   
     
     
         5 . The computer-implemented method of  claim 1 , further comprising:
 the artificial intelligence using the content, the context and the event information to identify who would be interested in the content, the context and the event information.   
     
     
         6 . The computer-implemented method of  claim 1 , further comprising:
 the artificial intelligence automatically determining when to send a message.   
     
     
         7 . The computer-implemented method of  claim 1 , further comprising:
 the artificial intelligence generating in a message a recommendation related to the enriched content.   
     
     
         8 . The computer-implemented method of  claim 1 , further comprising:
 the artificial intelligence biasing in a message a recommendation towards context.   
     
     
         9 . The computer-implemented method of  claim 1 , further comprising:
 the artificial intelligence generating message copy related to the context.   
     
     
         10 . The computer-implemented method of  claim 1 , further comprising:
 the artificial intelligence including in a message a promotion or a discount related to the context.   
     
     
         11 . The computer-implemented method of  claim 1 , further comprising:
 the artificial intelligence including in a message an originally scraped image or an AI composed image related to content or context.   
     
     
         12 . The computer-implemented method of  claim 1 , further comprising:
 the artificial intelligence measuring performance of a message or a campaign of messages.   
     
     
         13 . The computer-implemented method of  claim 1 , further comprising:
 the collected set of network data relevant to a smart campaign with autopilot features including: content, context, event data, retailers' websites including new banners, hero images, coupons, discounts, promotions, how retailers' websites merchandising/site management team categorizes content, categories and/or products currently being promoted, upcoming promotions on categories or products, product-category combinations, shopper demographic, shopper preferences, shopper state, weather forecasts, severe weather events, product information, sports teams, and themes.   
     
     
         14 . The computer-implemented method of  claim 1 , further comprising:
 the artificial intelligence constantly scraping and monitoring a retailer's website for new banners, images, coupons, discounts, or promotions.   
     
     
         15 . The computer-implemented method of  claim 14 , further comprising:
 the artificial intelligence downloading the new banners, images, coupons, discounts, or promotions and enriching them with context and automatically using them in a campaign.   
     
     
         16 . The computer-implemented method of  claim 1 , further comprising:
 the artificial intelligence constantly scraping and monitoring a retailer's website for how the retailer categorizes content and what categories and/or products that are currently being promoted.   
     
     
         17 . The computer-implemented method of  claim 1 , further comprising:
 the artificial intelligence enriching the content with context.   
     
     
         18 . The computer-implemented method of  claim 1 , further comprising:
 the artificial intelligence enriching scraped content with context, including a product or category description.   
     
     
         19 . The computer-implemented method of  claim 1 , further comprising:
 the artificial intelligence enriching the content with context, including adding relevant life, world, or weather events that would cause communication about the content with context.   
     
     
         20 . The computer-implemented method of  claim 1 , further comprising:
 the artificial intelligence generating based on collected content and context, new banners, images, coupons, discounts, or promotions.   
     
     
         21 . The computer-implemented method of  claim 20 , further comprising:
 the artificial intelligence utilizing the new banners, images, coupons, discounts, or promotions and enriching them with context and automatically using them in a smart campaign.   
     
     
         22 . The computer-implemented method of  claim 1 , further comprising:
 calculating a plurality of revenues generated by sending a plurality of different messages to different audiences over a plurality of predefined time intervals.   
     
     
         23 . The computer-implemented method of  claim 22 , further comprising:
 using artificial intelligence to determine content, context and event data to achieve a goal.   
     
     
         24 . The computer-implemented method of  claim 23 , further comprising:
 the goal being maximum revenue or profit.